---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mst_hp2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mst_hp2

This model is a fine-tuned version of [Sjdan/mst_1](https://huggingface.co/Sjdan/mst_1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2128
- Wer: 1.5888

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.1539        | 1.36  | 500  | 2.8040          | 1.5607 |
| 2.2802        | 2.72  | 1000 | 1.2387          | 2.3707 |
| 1.1976        | 4.09  | 1500 | 0.4206          | 1.8754 |
| 0.6861        | 5.45  | 2000 | 0.2622          | 1.6916 |
| 0.5078        | 6.81  | 2500 | 0.2128          | 1.5888 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2